Financial excellence has one honest test: does the business make better decisions because finance exists? In Australian growth companies that means building in order, accurate first, then timely, explainable, forward-looking and finally influential.
The only definition worth using
Most published definitions of financial excellence are a list of desirable nouns: forecasting accuracy, cost optimisation, automated reporting, compliance, cash management. All true and all useless as a test, because a finance function can score well on every one of them and still change nothing about how the business runs.
The test that works is whether the output gets used. Numbers matter, but trust matters more , because without it even the best reporting will not get used. Excellence is the point at which the executive team makes different, better decisions because of finance. Everything else is input.
What it looks like concretely
In a growing business you can see it without a maturity model. When finance is properly owned, reporting gets clearer, forecasts become more believable , board prep gets less chaotic, cash conversations get more accurate, and hiring plans get properly tested before they become commitments. Five observable things, all of them falsifiable.
The impact shows up in the operating rhythm too. By day 60 of a strong first finance hire, founders notice reports produced proactively , a cash position they can explain, realistic forecasts, and less last-minute board preparation, with the most noticeable change being fewer finance questions coming to them. By day 90 the founder is making better decisions, not because anything dramatic changed, but because somebody can interpret the numbers, advise on headcount and spending, and spot inconsistencies in the growth story. The gap between finance teams on this is widening.[2]
| Often mistaken for excellence | What excellence actually is | |
|---|---|---|
| Reporting | A polished pack delivered on time every month. | A pack the executive references in a decision. If nobody opens it, the polish is wasted effort. |
| Forecasting | A detailed model with many tabs and scenarios. | A forecast the board believes, with assumptions someone owns publicly and is accountable for when they are wrong. |
| Automation | Tools adopted because the category is fashionable. | Automation applied where it buys timeliness, on top of numbers that are already accurate and a human who still checks them. |
| Cost control | Across-the-board reductions applied uniformly. | Spend tested against what it returns, with hiring plans challenged before they become commitments. |
The sequence, and why it matters
Businesses chase the wrong layer at the wrong time. The order is close to fixed: accurate first, then timely, then explainable, then forward-looking, then influential. Skipping ahead is what produces a beautiful forecast built on a ledger nobody trusts.
- Accurate. The numbers are right and the close is repeatable. Unglamorous and non-negotiable, and the floor is set by law rather than by ambition: ASIC requires financial records that correctly record and explain transactions well enough for a true and fair report to be prepared and audited.
- Timely. Reporting lands early enough to change a decision rather than describe one.
- Explainable. Someone outside finance can act on it. Businesses value finance leaders who speak the language of operations, technology and strategy , not just accounting.
- Forward-looking. Forecasts with assumptions somebody owns and defends.
- Influential. Decisions change. This is the layer everyone claims and few reach.
Automation belongs alongside this rather than instead of it. AI and automation tools are on the table for finance teams, but adoption across the Australian market remains slow . One practical Australian example: a scale-up controller refreshes their board pack every Monday with a single instruction, then checks revenue, cash and ARR against Xero and adds commentary, rather than rebuilding the pack manually.[1] That is automation serving the timeliness layer, not replacing the accuracy one. Our guide to getting started with AI in finance collects thirteen more workflows in the same shape.
If you are working out what finance capability your stage actually needs, I map the structure by company stage.
The constraint is usually people, not process
Most businesses that want better finance do not have a framework problem. They have a resourcing and capability problem. Finance teams are running leaner structures and higher workloads as a downstream effect of the headcount cuts in 2025, which makes each hiring decision more consequential. A team already behind on the accuracy layer will not reach the influential one by adopting a maturity model.
The other common constraint is under-hiring. Many founders price their first finance role against current complexity rather than the complexity they will have in twelve months, and then re-hire because the first person could not scale. Excellence is usually bought at the hiring decision, not built afterwards.
If the question is who can actually deliver this, I set out what separates a great finance leader from a competent one.
Common questions
What is financial excellence?
The useful definition has one test: does the business make better decisions because finance exists? Standard definitions list forecasting accuracy, cost optimisation, automated reporting, compliance and cash management, and a function can score well on all of them while changing nothing about how the business runs. Accurate reporting that nobody acts on is not excellence, it is expensive record keeping. Without trust, even the best reporting goes unused.
How do you measure financial excellence?
By observable changes rather than a maturity score. Reporting gets clearer, forecasts become more believable, board preparation gets less chaotic, cash conversations get more accurate, and hiring plans get tested before they become commitments. In a business that has just made a strong finance hire, the clearest signal by day 60 is fewer finance questions landing on the founder's desk, because someone else is now answering them properly.
What is the right order to build financial capability?
Accurate, then timely, then explainable, then forward-looking, then influential. Each layer depends on the one below it. The common failure is skipping ahead, which produces a sophisticated forecast built on a ledger nobody trusts, or an automated board pack that is fast and wrong. Automation belongs on top of accuracy, not instead of it.
Is financial excellence a process problem or a people problem?
Usually people. Most businesses that want better finance do not need a new framework, they need capability they do not currently have. Australian finance teams are running leaner structures and higher workloads following the headcount cuts of 2025, which makes each hire more consequential. Founders also frequently under-hire, pricing the role against today's complexity rather than the complexity they will have in twelve months, and then re-hiring when the first person cannot scale.
References
- What I am hearing from the teams that have gone furthest, talking on the Behind The Story Show podcast: the ones who are really all in on it are genuinely killing it, and the specifics people describe to me are well beyond what most functions are doing.
- An AI-in-finance workflow example from our client base at Story Recruitment: an Australian scale-up controller refreshes their board pack every Monday with a single instruction, then checks revenue, cash and ARR against Xero and adds commentary, eliminating the manual rebuild.